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内化和外化精神疾病维度的描述性流行病学

The descriptive epidemiology of internalizing and externalizing psychiatric dimensions.

作者信息

Slade Tim

机构信息

School of Psychiatry, University of New South Wales at St Vincent's Hospital, 299 Forbes Street, Darlinghurst (NSW), 2010 Australia.

出版信息

Soc Psychiatry Psychiatr Epidemiol. 2007 Jul;42(7):554-60. doi: 10.1007/s00127-007-0200-5. Epub 2007 May 21.

Abstract

BACKGROUND

There is a growing recognition that comorbidity among individual mental disorders is best explained by the broad, psychiatric dimensions of internalization (sub-divided into distress and fear) and externalization. The aims of the current study were to examine the descriptive epidemiology of these psychiatric dimensions.

METHODS

Continuous measures of distress, fear and externalization dimensions were obtained from principal components analysis of 11 common ICD-10 mental disorders in a large (N = 10,641) community sample. The relationships between these three dimensions and sociodemographic, physical illness and personality disorder characteristics were determined using multivariate linear regression analyses.

RESULTS

The results suggest that the distress dimension is more strongly related to disadvantageous sociodemographic characteristics and physical health conditions than either the fear or externalizing dimensions. The results also demonstrate some specificity in profiles particularly with regard to the personality disorders.

CONCLUSIONS

Greater emphasis should be placed on continuous psychiatric dimensions that are thought to underlie the expression of putatively independent mental disorders.

摘要

背景

人们越来越认识到,个体精神障碍之间的共病现象最好用内化(细分为痛苦和恐惧)和外化这两个广泛的精神维度来解释。本研究的目的是检验这些精神维度的描述性流行病学。

方法

通过对一个大型社区样本(N = 10641)中11种常见的国际疾病分类第10版(ICD - 10)精神障碍进行主成分分析,获得痛苦、恐惧和外化维度的连续测量值。使用多元线性回归分析确定这三个维度与社会人口统计学、身体疾病和人格障碍特征之间的关系。

结果

结果表明,与恐惧或外化维度相比,痛苦维度与不利的社会人口统计学特征和身体健康状况的关联更强。结果还显示出在特征方面的一些特异性,特别是在人格障碍方面。

结论

应更加重视那些被认为是假定独立的精神障碍表现基础的连续精神维度。

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